Anandkumar, Animashree

Conference Item from CaltechAUTHORS

• Lale, Sahin and Shi, Yuanyuan, et el. (2023) KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems; ISBN 979-8-3503-0124-3; 2023 62nd IEEE Conference on Decision and Control (CDC); 1334-1341; 10.1109/cdc49753.2023.10384011
• Chen, Yilun and Yu, Zhiding, et el. (2023) FocalFormer3D : Focusing on Hard Instance for 3D Object Detection; ISBN 979-8-3503-0718-4; 2023 IEEE/CVF International Conference on Computer Vision (ICCV); 8360-8371; 10.1109/iccv51070.2023.00771
• Zhao, Bingyin and Yu, Zhiding, et el. (2023) Fully Attentional Networks with Self-emerging Token Labeling; ISBN 979-8-3503-0718-4; 2023 IEEE/CVF International Conference on Computer Vision (ICCV); 5562-5572; 10.1109/iccv51070.2023.00514
• Li, Yanwei and Yu, Zhiding, et el. (2023) End-to-end 3D Tracking with Decoupled Queries; ISBN 979-8-3503-0718-4; 2023 IEEE/CVF International Conference on Computer Vision (ICCV); 18256-18265; 10.1109/iccv51070.2023.01678
• Li, Zhiqi and Yu, Zhiding, et el. (2023) FB-BEV: BEV Representation from Forward-Backward View Transformations; ISBN 979-8-3503-0718-4; 2023 IEEE/CVF International Conference on Computer Vision (ICCV); 6896-6905; 10.1109/iccv51070.2023.00637
• Haghi, Benyamin and Ma, Lin, et el. (2023) EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification; ISBN 979-8-3503-0026-0; 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS); 1-5; 10.1109/biocas58349.2023.10389164
• Choe, Jaesung and Choy, Christopher, et el. (2023) Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction; ISBN 979-8-3503-0718-4; 2023 IEEE/CVF International Conference on Computer Vision (ICCV); 17825-17835; 10.1109/iccv51070.2023.01638
• Kurth, Thorsten and Subramanian, Shashank, et el. (2023) FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators; ISBN 9798400701900; PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference; 13; 10.1145/3592979.3593412
• Anandkumar, Anima (2023) Neural Operators for Solving PDEs and Inverse Design; ISBN 9781450399784; ISPD '23: Proceedings of the 2023 International Symposium on Physical Design; 195; 10.1145/3569052.3578911
• Yang, Haoyu and Li, Zongyi, et el. (2022) Generic lithography modeling with dual-band optics-inspired neural networks; ISBN 9781450391429; DAC '22: Proceedings of the 59th ACM/IEEE Design Automation Conference; 973-978; 10.1145/3489517.3530580
• Azizzadenesheli, Kamyar and Liu, Anqi, et el. (2019) Regularized Learning for Domain Adaptation under Label Shifts; 10.48550/arXiv.1903.09734
• Hu, Peiyun and Lipton, Zachary C., et el. (2019) Active Learning with Partial Feedback; 10.48550/arXiv.1802.07427
• Khetan, Ashish and Lipton, Zachary C., et el. (2018) Learning From Noisy Singly-labeled Data; 10.48550/arXiv.1712.04577
• Arabshahi, Forough and Singh, Sameer, et el. (2018) Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs; 10.48550/arXiv.1801.04342
• Dhillon, Guneet S. and Azizzadenesheli, Kamyar, et el. (2018) Stochastic Activation Pruning for Robust Adversarial Defense; 10.48550/arXiv.1803.01442
• Shen, Yanyao and Yun, Hyokun, et el. (2018) Deep Active Learning for Named Entity Recognition; 10.48550/arXiv.1707.05928
• Janzamin, Majid and Sedghi, Hanie, et el. (2015) Score Function Features for Discriminative Learning; 10.48550/arXiv.1412.6514
• Sedghi, Hanie and Anandkumar, Anima (2014) Provable Methods for Training Neural Networks with Sparse Connectivity; 10.48550/arXiv.1412.2693
• Sedghi, Hanie and Anandkumar, Anima (2014) Provable Methods for Training Neural Networks with Sparse Connectivity; 10.48550/arXiv.1412.2693